Modern digital music libraries contain textual, visual, and audio data describing music on various semantic levels. Exploiting the availability of different semantically interrelated representations for a piece of music, this paper presents a query-by-lyrics retrieval system that facilitates multimodal navigation in CD audio collections. In particular, we introduce an automated method to time a...

Lyric-based song sentiment classification seeks to assign songs appropriate sentiment labels such as light-hearted and heavy-hearted. Four problems render vector space model (VSM)-based text classification approach ineffective: 1) Many words within song lyrics actually contribute little to sentiment; 2) Nouns and verbs used to express sentiment are ambiguous; 3) Negations and modifiers around t...

The lyrics of a song are an interesting, yet underused type of symbolic music data. We present SongWords, an application for tabletop computers that allows browsing and exploring a music collection based on its lyrics. SongWords can present the collection in a self-organizing map or sorted along different dimensions. Songs can be ordered by lyrics, user-generated tags or alphabetically by name,...

Solving the task of phoneme recognition in music sound files may help for several practical applications: it enables lyrics transcription and as a consequence could provide further relevant information for the task of an automatic song classification. Beyond it can be used for lyrics alignment e.g. in karaoke applications. The effect of both different feature signal representations as well as t...

We present an approach to automatically retrieve and extract lyrics of arbitrary songs from the Internet. It is intended to provide easy and convenient access to lyrics for users, as well as a basis for further research based on lyrics, e.g. semantic analysis. Due to the fact that many lyrics found on the web suffer from individual errors like typos, we make use of multiple versions from differ...

In a previous study (Simmons-Stern, Budson & Ally, 2010), we found that patients with Alzheimer's disease (AD) better recognized visually presented lyrics when the lyrics were also sung rather than spoken at encoding. The present study sought to further investigate the effects of music on memory in patients with AD by making the content of the song lyrics relevant for the daily life of an older...

Music genre classification, especially using lyrics alone, remains a challenging topic in Music Information Retrieval. In this study we apply recurrent neural network models to classify a large dataset of intact song lyrics. As lyrics exhibit a hierarchical layer structure—in which words combine to form lines, lines form segments, and segments form a complete song—we adapt a hierarchical attent...

Multimedia data by definition comprises several different types of content modalities. Music specifically inherits e.g. audio at its core, text in the form of lyrics, images by means of album covers, or video in the form of music videos. Yet, in many Music Information Retrieval applications, only the audio content is utilised. Recent studies have shown the usefulness of incorporating other moda...